1) I feel that 2 filters will fall quicker because they weigh more. I feel that the mathematical relationship between them will be linear
2) They would both fall at the same pace.
3)
4) air resistance
Procedure:
1) Set up motion detector
2) place filter .5m under the detector and start collecting once it is dropped
3) make sure the graph is smooth
4) find the slope by clicking on linear fit, for the part of the graph where the slope is constant
5) collect data for 2,3,4,and 5 coffee filters
Number of filters
Terminal Velocity (m/s)
(Terminal Velocity)2 (m2/s2)
1
1.28
1.64
2
1.50
2.25
3
1.96
3.84
4
2.25
5.06
5
2.50
6.25
Analysis
1) See graph above
2) The (Terminal Velocity)^2 is more proportional with my data, because it is more linear and looks like it goes through the origin
3) (cv)^2 appears to be the better model for my data because it is more linear and goes through the origin
4) It looks like it scales up approximately 1m/s per each filter
1) I feel that 2 filters will fall quicker because they weigh more. I feel that the mathematical relationship between them will be linear
2) They would both fall at the same pace.
3)
4) air resistance
Procedure:
1) Set up motion detector
2) place filter .5m under the detector and start collecting once it is dropped
3) make sure the graph is smooth
4) find the slope by clicking on linear fit, for the part of the graph where the slope is constant
5) collect data for 2,3,4,and 5 coffee filters
Analysis
1) See graph above
2) The (Terminal Velocity)^2 is more proportional with my data, because it is more linear and looks like it goes through the origin
3) (cv)^2 appears to be the better model for my data because it is more linear and goes through the origin
4) It looks like it scales up approximately 1m/s per each filter